Run
54295

Run 54295

Task 2097 (Learning Curve) satimage Uploaded 08-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.Bagging_REPTree(3)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_REPTree(3)_I10
weka.Bagging_REPTree(3)_P100
weka.Bagging_REPTree(3)_S1
weka.Bagging_REPTree(3)_Wweka.classifiers.trees.REPTree
weka.Bagging_REPTree(3)_num-slots1
weka.REPTree(5)_I0.0
weka.REPTree(5)_L-1
weka.REPTree(5)_M2
weka.REPTree(5)_N3
weka.REPTree(5)_S1
weka.REPTree(5)_V0.001

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.9877 ± 0.0022
Per class
Build CPU time
0.1861
Build memory
1847530714.7429
F measure
0.89 ± 0.0128
Per class
Kappa
0.8678 ± 0.0155
KB relative information score
0.8459 ± 0.0074
Mean absolute error
0.0571 ± 0.002
Mean prior absolute error
0.2701 ± 0
Number of instances
6430
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8902 ± 0.0135
Per class
Predictive accuracy
0.8935 ± 0.0125
Prior entropy
2.4834 ± 0.0009
Recall
0.8935 ± 0.0125
Per class
Relative absolute error
0.2113 ± 0.0073
Root mean prior squared error
0.3675 ± 0
Root mean squared error
0.1609 ± 0.0056
Root relative squared error
0.4377 ± 0.0153
SciMark benchmark
1615.5755